IGNITE-8907: [ML] Using vectors in featureExtractor
[ignite.git] / examples / src / main / java / org / apache / ignite / examples / ml / tree / randomforest / RandomForestClassificationExample.java
1 /*
2 * Licensed to the Apache Software Foundation (ASF) under one or more
3 * contributor license agreements. See the NOTICE file distributed with
4 * this work for additional information regarding copyright ownership.
5 * The ASF licenses this file to You under the Apache License, Version 2.0
6 * (the "License"); you may not use this file except in compliance with
7 * the License. You may obtain a copy of the License at
8 *
9 * http://www.apache.org/licenses/LICENSE-2.0
10 *
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
16 */
17
18 package org.apache.ignite.examples.ml.tree.randomforest;
19
20 import java.util.Arrays;
21 import java.util.UUID;
22 import javax.cache.Cache;
23 import org.apache.ignite.Ignite;
24 import org.apache.ignite.IgniteCache;
25 import org.apache.ignite.Ignition;
26 import org.apache.ignite.cache.affinity.rendezvous.RendezvousAffinityFunction;
27 import org.apache.ignite.cache.query.QueryCursor;
28 import org.apache.ignite.cache.query.ScanQuery;
29 import org.apache.ignite.configuration.CacheConfiguration;
30 import org.apache.ignite.ml.composition.ModelsComposition;
31 import org.apache.ignite.ml.math.VectorUtils;
32 import org.apache.ignite.ml.tree.randomforest.RandomForestClassifierTrainer;
33 import org.apache.ignite.ml.tree.randomforest.RandomForestTrainer;
34 import org.apache.ignite.thread.IgniteThread;
35
36 /**
37 * Example represents a solution for the task of wine classification based on RandomForest
38 * implementation for multi-classification. It shows an initialization of {@link RandomForestTrainer} with
39 * thread pool for multi-thread learning, initialization of Ignite Cache,
40 * learning step and evaluation of accuracy of model.
41 *
42 * Dataset url: https://archive.ics.uci.edu/ml/machine-learning-databases/wine/
43 * @see RandomForestClassifierTrainer
44 */
45 public class RandomForestClassificationExample {
46 /**
47 * Run example.
48 */
49 public static void main(String[] args) throws InterruptedException {
50 System.out.println();
51 System.out.println(">>> Random Forest multi-class classification algorithm over cached dataset usage example started.");
52 // Start ignite grid.
53 try (Ignite ignite = Ignition.start("examples/config/example-ignite.xml")) {
54 System.out.println(">>> Ignite grid started.");
55
56 IgniteThread igniteThread = new IgniteThread(ignite.configuration().getIgniteInstanceName(),
57 RandomForestClassificationExample.class.getSimpleName(), () -> {
58 IgniteCache<Integer, double[]> dataCache = getTestCache(ignite);
59
60 RandomForestClassifierTrainer trainer = new RandomForestClassifierTrainer(13, 4, 101, 0.3, 2, 0);
61
62 ModelsComposition randomForest = trainer.fit(ignite, dataCache,
63 (k, v) -> VectorUtils.of(Arrays.copyOfRange(v, 1, v.length)),
64 (k, v) -> v[0]
65 );
66
67 int amountOfErrors = 0;
68 int totalAmount = 0;
69
70 try (QueryCursor<Cache.Entry<Integer, double[]>> observations = dataCache.query(new ScanQuery<>())) {
71 for (Cache.Entry<Integer, double[]> observation : observations) {
72 double[] val = observation.getValue();
73 double[] inputs = Arrays.copyOfRange(val, 1, val.length);
74 double groundTruth = val[0];
75
76 double prediction = randomForest.apply(VectorUtils.of(inputs));
77
78 totalAmount++;
79 if (groundTruth != prediction)
80 amountOfErrors++;
81
82 }
83
84 System.out.println("\n>>> Absolute amount of errors " + amountOfErrors);
85 System.out.println("\n>>> Accuracy " + (1 - amountOfErrors / (double) totalAmount));
86 }
87 });
88
89 igniteThread.start();
90 igniteThread.join();
91 }
92 }
93
94 /**
95 * Fills cache with data and returns it.
96 *
97 * @param ignite Ignite instance.
98 * @return Filled Ignite Cache.
99 */
100 private static IgniteCache<Integer, double[]> getTestCache(Ignite ignite) {
101 CacheConfiguration<Integer, double[]> cacheConfiguration = new CacheConfiguration<>();
102 cacheConfiguration.setName("TEST_" + UUID.randomUUID());
103 cacheConfiguration.setAffinity(new RendezvousAffinityFunction(false, 10));
104
105 IgniteCache<Integer, double[]> cache = ignite.createCache(cacheConfiguration);
106
107 for (int i = 0; i < data.length; i++)
108 cache.put(i, data[i]);
109
110 return cache;
111 }
112
113 /**
114 * The Wine dataset.
115 */
116 private static final double[][] data = {
117 {1, 14.23, 1.71, 2.43, 15.6, 127, 2.8, 3.06, .28, 2.29, 5.64, 1.04, 3.92, 1065},
118 {1, 13.2, 1.78, 2.14, 11.2, 100, 2.65, 2.76, .26, 1.28, 4.38, 1.05, 3.4, 1050},
119 {1, 13.16, 2.36, 2.67, 18.6, 101, 2.8, 3.24, .3, 2.81, 5.68, 1.03, 3.17, 1185},
120 {1, 14.37, 1.95, 2.5, 16.8, 113, 3.85, 3.49, .24, 2.18, 7.8, .86, 3.45, 1480},
121 {1, 13.24, 2.59, 2.87, 21, 118, 2.8, 2.69, .39, 1.82, 4.32, 1.04, 2.93, 735},
122 {1, 14.2, 1.76, 2.45, 15.2, 112, 3.27, 3.39, .34, 1.97, 6.75, 1.05, 2.85, 1450},
123 {1, 14.39, 1.87, 2.45, 14.6, 96, 2.5, 2.52, .3, 1.98, 5.25, 1.02, 3.58, 1290},
124 {1, 14.06, 2.15, 2.61, 17.6, 121, 2.6, 2.51, .31, 1.25, 5.05, 1.06, 3.58, 1295},
125 {1, 14.83, 1.64, 2.17, 14, 97, 2.8, 2.98, .29, 1.98, 5.2, 1.08, 2.85, 1045},
126 {1, 13.86, 1.35, 2.27, 16, 98, 2.98, 3.15, .22, 1.85, 7.22, 1.01, 3.55, 1045},
127 {1, 14.1, 2.16, 2.3, 18, 105, 2.95, 3.32, .22, 2.38, 5.75, 1.25, 3.17, 1510},
128 {1, 14.12, 1.48, 2.32, 16.8, 95, 2.2, 2.43, .26, 1.57, 5, 1.17, 2.82, 1280},
129 {1, 13.75, 1.73, 2.41, 16, 89, 2.6, 2.76, .29, 1.81, 5.6, 1.15, 2.9, 1320},
130 {1, 14.75, 1.73, 2.39, 11.4, 91, 3.1, 3.69, .43, 2.81, 5.4, 1.25, 2.73, 1150},
131 {1, 14.38, 1.87, 2.38, 12, 102, 3.3, 3.64, .29, 2.96, 7.5, 1.2, 3, 1547},
132 {1, 13.63, 1.81, 2.7, 17.2, 112, 2.85, 2.91, .3, 1.46, 7.3, 1.28, 2.88, 1310},
133 {1, 14.3, 1.92, 2.72, 20, 120, 2.8, 3.14, .33, 1.97, 6.2, 1.07, 2.65, 1280},
134 {1, 13.83, 1.57, 2.62, 20, 115, 2.95, 3.4, .4, 1.72, 6.6, 1.13, 2.57, 1130},
135 {1, 14.19, 1.59, 2.48, 16.5, 108, 3.3, 3.93, .32, 1.86, 8.7, 1.23, 2.82, 1680},
136 {1, 13.64, 3.1, 2.56, 15.2, 116, 2.7, 3.03, .17, 1.66, 5.1, .96, 3.36, 845},
137 {1, 14.06, 1.63, 2.28, 16, 126, 3, 3.17, .24, 2.1, 5.65, 1.09, 3.71, 780},
138 {1, 12.93, 3.8, 2.65, 18.6, 102, 2.41, 2.41, .25, 1.98, 4.5, 1.03, 3.52, 770},
139 {1, 13.71, 1.86, 2.36, 16.6, 101, 2.61, 2.88, .27, 1.69, 3.8, 1.11, 4, 1035},
140 {1, 12.85, 1.6, 2.52, 17.8, 95, 2.48, 2.37, .26, 1.46, 3.93, 1.09, 3.63, 1015},
141 {1, 13.5, 1.81, 2.61, 20, 96, 2.53, 2.61, .28, 1.66, 3.52, 1.12, 3.82, 845},
142 {1, 13.05, 2.05, 3.22, 25, 124, 2.63, 2.68, .47, 1.92, 3.58, 1.13, 3.2, 830},
143 {1, 13.39, 1.77, 2.62, 16.1, 93, 2.85, 2.94, .34, 1.45, 4.8, .92, 3.22, 1195},
144 {1, 13.3, 1.72, 2.14, 17, 94, 2.4, 2.19, .27, 1.35, 3.95, 1.02, 2.77, 1285},
145 {1, 13.87, 1.9, 2.8, 19.4, 107, 2.95, 2.97, .37, 1.76, 4.5, 1.25, 3.4, 915},
146 {1, 14.02, 1.68, 2.21, 16, 96, 2.65, 2.33, .26, 1.98, 4.7, 1.04, 3.59, 1035},
147 {1, 13.73, 1.5, 2.7, 22.5, 101, 3, 3.25, .29, 2.38, 5.7, 1.19, 2.71, 1285},
148 {1, 13.58, 1.66, 2.36, 19.1, 106, 2.86, 3.19, .22, 1.95, 6.9, 1.09, 2.88, 1515},
149 {1, 13.68, 1.83, 2.36, 17.2, 104, 2.42, 2.69, .42, 1.97, 3.84, 1.23, 2.87, 990},
150 {1, 13.76, 1.53, 2.7, 19.5, 132, 2.95, 2.74, .5, 1.35, 5.4, 1.25, 3, 1235},
151 {1, 13.51, 1.8, 2.65, 19, 110, 2.35, 2.53, .29, 1.54, 4.2, 1.1, 2.87, 1095},
152 {1, 13.48, 1.81, 2.41, 20.5, 100, 2.7, 2.98, .26, 1.86, 5.1, 1.04, 3.47, 920},
153 {1, 13.28, 1.64, 2.84, 15.5, 110, 2.6, 2.68, .34, 1.36, 4.6, 1.09, 2.78, 880},
154 {1, 13.05, 1.65, 2.55, 18, 98, 2.45, 2.43, .29, 1.44, 4.25, 1.12, 2.51, 1105},
155 {1, 13.07, 1.5, 2.1, 15.5, 98, 2.4, 2.64, .28, 1.37, 3.7, 1.18, 2.69, 1020},
156 {1, 14.22, 3.99, 2.51, 13.2, 128, 3, 3.04, .2, 2.08, 5.1, .89, 3.53, 760},
157 {1, 13.56, 1.71, 2.31, 16.2, 117, 3.15, 3.29, .34, 2.34, 6.13, .95, 3.38, 795},
158 {1, 13.41, 3.84, 2.12, 18.8, 90, 2.45, 2.68, .27, 1.48, 4.28, .91, 3, 1035},
159 {1, 13.88, 1.89, 2.59, 15, 101, 3.25, 3.56, .17, 1.7, 5.43, .88, 3.56, 1095},
160 {1, 13.24, 3.98, 2.29, 17.5, 103, 2.64, 2.63, .32, 1.66, 4.36, .82, 3, 680},
161 {1, 13.05, 1.77, 2.1, 17, 107, 3, 3, .28, 2.03, 5.04, .88, 3.35, 885},
162 {1, 14.21, 4.04, 2.44, 18.9, 111, 2.85, 2.65, .3, 1.25, 5.24, .87, 3.33, 1080},
163 {1, 14.38, 3.59, 2.28, 16, 102, 3.25, 3.17, .27, 2.19, 4.9, 1.04, 3.44, 1065},
164 {1, 13.9, 1.68, 2.12, 16, 101, 3.1, 3.39, .21, 2.14, 6.1, .91, 3.33, 985},
165 {1, 14.1, 2.02, 2.4, 18.8, 103, 2.75, 2.92, .32, 2.38, 6.2, 1.07, 2.75, 1060},
166 {1, 13.94, 1.73, 2.27, 17.4, 108, 2.88, 3.54, .32, 2.08, 8.90, 1.12, 3.1, 1260},
167 {1, 13.05, 1.73, 2.04, 12.4, 92, 2.72, 3.27, .17, 2.91, 7.2, 1.12, 2.91, 1150},
168 {1, 13.83, 1.65, 2.6, 17.2, 94, 2.45, 2.99, .22, 2.29, 5.6, 1.24, 3.37, 1265},
169 {1, 13.82, 1.75, 2.42, 14, 111, 3.88, 3.74, .32, 1.87, 7.05, 1.01, 3.26, 1190},
170 {1, 13.77, 1.9, 2.68, 17.1, 115, 3, 2.79, .39, 1.68, 6.3, 1.13, 2.93, 1375},
171 {1, 13.74, 1.67, 2.25, 16.4, 118, 2.6, 2.9, .21, 1.62, 5.85, .92, 3.2, 1060},
172 {1, 13.56, 1.73, 2.46, 20.5, 116, 2.96, 2.78, .2, 2.45, 6.25, .98, 3.03, 1120},
173 {1, 14.22, 1.7, 2.3, 16.3, 118, 3.2, 3, .26, 2.03, 6.38, .94, 3.31, 970},
174 {1, 13.29, 1.97, 2.68, 16.8, 102, 3, 3.23, .31, 1.66, 6, 1.07, 2.84, 1270},
175 {1, 13.72, 1.43, 2.5, 16.7, 108, 3.4, 3.67, .19, 2.04, 6.8, .89, 2.87, 1285},
176 {2, 12.37, .94, 1.36, 10.6, 88, 1.98, .57, .28, .42, 1.95, 1.05, 1.82, 520},
177 {2, 12.33, 1.1, 2.28, 16, 101, 2.05, 1.09, .63, .41, 3.27, 1.25, 1.67, 680},
178 {2, 12.64, 1.36, 2.02, 16.8, 100, 2.02, 1.41, .53, .62, 5.75, .98, 1.59, 450},
179 {2, 13.67, 1.25, 1.92, 18, 94, 2.1, 1.79, .32, .73, 3.8, 1.23, 2.46, 630},
180 {2, 12.37, 1.13, 2.16, 19, 87, 3.5, 3.1, .19, 1.87, 4.45, 1.22, 2.87, 420},
181 {2, 12.17, 1.45, 2.53, 19, 104, 1.89, 1.75, .45, 1.03, 2.95, 1.45, 2.23, 355},
182 {2, 12.37, 1.21, 2.56, 18.1, 98, 2.42, 2.65, .37, 2.08, 4.6, 1.19, 2.3, 678},
183 {2, 13.11, 1.01, 1.7, 15, 78, 2.98, 3.18, .26, 2.28, 5.3, 1.12, 3.18, 502},
184 {2, 12.37, 1.17, 1.92, 19.6, 78, 2.11, 2, .27, 1.04, 4.68, 1.12, 3.48, 510},
185 {2, 13.34, .94, 2.36, 17, 110, 2.53, 1.3, .55, .42, 3.17, 1.02, 1.93, 750},
186 {2, 12.21, 1.19, 1.75, 16.8, 151, 1.85, 1.28, .14, 2.5, 2.85, 1.28, 3.07, 718},
187 {2, 12.29, 1.61, 2.21, 20.4, 103, 1.1, 1.02, .37, 1.46, 3.05, .906, 1.82, 870},
188 {2, 13.86, 1.51, 2.67, 25, 86, 2.95, 2.86, .21, 1.87, 3.38, 1.36, 3.16, 410},
189 {2, 13.49, 1.66, 2.24, 24, 87, 1.88, 1.84, .27, 1.03, 3.74, .98, 2.78, 472},
190 {2, 12.99, 1.67, 2.6, 30, 139, 3.3, 2.89, .21, 1.96, 3.35, 1.31, 3.5, 985},
191 {2, 11.96, 1.09, 2.3, 21, 101, 3.38, 2.14, .13, 1.65, 3.21, .99, 3.13, 886},
192 {2, 11.66, 1.88, 1.92, 16, 97, 1.61, 1.57, .34, 1.15, 3.8, 1.23, 2.14, 428},
193 {2, 13.03, .9, 1.71, 16, 86, 1.95, 2.03, .24, 1.46, 4.6, 1.19, 2.48, 392},
194 {2, 11.84, 2.89, 2.23, 18, 112, 1.72, 1.32, .43, .95, 2.65, .96, 2.52, 500},
195 {2, 12.33, .99, 1.95, 14.8, 136, 1.9, 1.85, .35, 2.76, 3.4, 1.06, 2.31, 750},
196 {2, 12.7, 3.87, 2.4, 23, 101, 2.83, 2.55, .43, 1.95, 2.57, 1.19, 3.13, 463},
197 {2, 12, .92, 2, 19, 86, 2.42, 2.26, .3, 1.43, 2.5, 1.38, 3.12, 278},
198 {2, 12.72, 1.81, 2.2, 18.8, 86, 2.2, 2.53, .26, 1.77, 3.9, 1.16, 3.14, 714},
199 {2, 12.08, 1.13, 2.51, 24, 78, 2, 1.58, .4, 1.4, 2.2, 1.31, 2.72, 630},
200 {2, 13.05, 3.86, 2.32, 22.5, 85, 1.65, 1.59, .61, 1.62, 4.8, .84, 2.01, 515},
201 {2, 11.84, .89, 2.58, 18, 94, 2.2, 2.21, .22, 2.35, 3.05, .79, 3.08, 520},
202 {2, 12.67, .98, 2.24, 18, 99, 2.2, 1.94, .3, 1.46, 2.62, 1.23, 3.16, 450},
203 {2, 12.16, 1.61, 2.31, 22.8, 90, 1.78, 1.69, .43, 1.56, 2.45, 1.33, 2.26, 495},
204 {2, 11.65, 1.67, 2.62, 26, 88, 1.92, 1.61, .4, 1.34, 2.6, 1.36, 3.21, 562},
205 {2, 11.64, 2.06, 2.46, 21.6, 84, 1.95, 1.69, .48, 1.35, 2.8, 1, 2.75, 680},
206 {2, 12.08, 1.33, 2.3, 23.6, 70, 2.2, 1.59, .42, 1.38, 1.74, 1.07, 3.21, 625},
207 {2, 12.08, 1.83, 2.32, 18.5, 81, 1.6, 1.5, .52, 1.64, 2.4, 1.08, 2.27, 480},
208 {2, 12, 1.51, 2.42, 22, 86, 1.45, 1.25, .5, 1.63, 3.6, 1.05, 2.65, 450},
209 {2, 12.69, 1.53, 2.26, 20.7, 80, 1.38, 1.46, .58, 1.62, 3.05, .96, 2.06, 495},
210 {2, 12.29, 2.83, 2.22, 18, 88, 2.45, 2.25, .25, 1.99, 2.15, 1.15, 3.3, 290},
211 {2, 11.62, 1.99, 2.28, 18, 98, 3.02, 2.26, .17, 1.35, 3.25, 1.16, 2.96, 345},
212 {2, 12.47, 1.52, 2.2, 19, 162, 2.5, 2.27, .32, 3.28, 2.6, 1.16, 2.63, 937},
213 {2, 11.81, 2.12, 2.74, 21.5, 134, 1.6, .99, .14, 1.56, 2.5, .95, 2.26, 625},
214 {2, 12.29, 1.41, 1.98, 16, 85, 2.55, 2.5, .29, 1.77, 2.9, 1.23, 2.74, 428},
215 {2, 12.37, 1.07, 2.1, 18.5, 88, 3.52, 3.75, .24, 1.95, 4.5, 1.04, 2.77, 660},
216 {2, 12.29, 3.17, 2.21, 18, 88, 2.85, 2.99, .45, 2.81, 2.3, 1.42, 2.83, 406},
217 {2, 12.08, 2.08, 1.7, 17.5, 97, 2.23, 2.17, .26, 1.4, 3.3, 1.27, 2.96, 710},
218 {2, 12.6, 1.34, 1.9, 18.5, 88, 1.45, 1.36, .29, 1.35, 2.45, 1.04, 2.77, 562},
219 {2, 12.34, 2.45, 2.46, 21, 98, 2.56, 2.11, .34, 1.31, 2.8, .8, 3.38, 438},
220 {2, 11.82, 1.72, 1.88, 19.5, 86, 2.5, 1.64, .37, 1.42, 2.06, .94, 2.44, 415},
221 {2, 12.51, 1.73, 1.98, 20.5, 85, 2.2, 1.92, .32, 1.48, 2.94, 1.04, 3.57, 672},
222 {2, 12.42, 2.55, 2.27, 22, 90, 1.68, 1.84, .66, 1.42, 2.7, .86, 3.3, 315},
223 {2, 12.25, 1.73, 2.12, 19, 80, 1.65, 2.03, .37, 1.63, 3.4, 1, 3.17, 510},
224 {2, 12.72, 1.75, 2.28, 22.5, 84, 1.38, 1.76, .48, 1.63, 3.3, .88, 2.42, 488},
225 {2, 12.22, 1.29, 1.94, 19, 92, 2.36, 2.04, .39, 2.08, 2.7, .86, 3.02, 312},
226 {2, 11.61, 1.35, 2.7, 20, 94, 2.74, 2.92, .29, 2.49, 2.65, .96, 3.26, 680},
227 {2, 11.46, 3.74, 1.82, 19.5, 107, 3.18, 2.58, .24, 3.58, 2.9, .75, 2.81, 562},
228 {2, 12.52, 2.43, 2.17, 21, 88, 2.55, 2.27, .26, 1.22, 2, .9, 2.78, 325},
229 {2, 11.76, 2.68, 2.92, 20, 103, 1.75, 2.03, .6, 1.05, 3.8, 1.23, 2.5, 607},
230 {2, 11.41, .74, 2.5, 21, 88, 2.48, 2.01, .42, 1.44, 3.08, 1.1, 2.31, 434},
231 {2, 12.08, 1.39, 2.5, 22.5, 84, 2.56, 2.29, .43, 1.04, 2.9, .93, 3.19, 385},
232 {2, 11.03, 1.51, 2.2, 21.5, 85, 2.46, 2.17, .52, 2.01, 1.9, 1.71, 2.87, 407},
233 {2, 11.82, 1.47, 1.99, 20.8, 86, 1.98, 1.6, .3, 1.53, 1.95, .95, 3.33, 495},
234 {2, 12.42, 1.61, 2.19, 22.5, 108, 2, 2.09, .34, 1.61, 2.06, 1.06, 2.96, 345},
235 {2, 12.77, 3.43, 1.98, 16, 80, 1.63, 1.25, .43, .83, 3.4, .7, 2.12, 372},
236 {2, 12, 3.43, 2, 19, 87, 2, 1.64, .37, 1.87, 1.28, .93, 3.05, 564},
237 {2, 11.45, 2.4, 2.42, 20, 96, 2.9, 2.79, .32, 1.83, 3.25, .8, 3.39, 625},
238 {2, 11.56, 2.05, 3.23, 28.5, 119, 3.18, 5.08, .47, 1.87, 6, .93, 3.69, 465},
239 {2, 12.42, 4.43, 2.73, 26.5, 102, 2.2, 2.13, .43, 1.71, 2.08, .92, 3.12, 365},
240 {2, 13.05, 5.8, 2.13, 21.5, 86, 2.62, 2.65, .3, 2.01, 2.6, .73, 3.1, 380},
241 {2, 11.87, 4.31, 2.39, 21, 82, 2.86, 3.03, .21, 2.91, 2.8, .75, 3.64, 380},
242 {2, 12.07, 2.16, 2.17, 21, 85, 2.6, 2.65, .37, 1.35, 2.76, .86, 3.28, 378},
243 {2, 12.43, 1.53, 2.29, 21.5, 86, 2.74, 3.15, .39, 1.77, 3.94, .69, 2.84, 352},
244 {2, 11.79, 2.13, 2.78, 28.5, 92, 2.13, 2.24, .58, 1.76, 3, .97, 2.44, 466},
245 {2, 12.37, 1.63, 2.3, 24.5, 88, 2.22, 2.45, .4, 1.9, 2.12, .89, 2.78, 342},
246 {2, 12.04, 4.3, 2.38, 22, 80, 2.1, 1.75, .42, 1.35, 2.6, .79, 2.57, 580},
247 {3, 12.86, 1.35, 2.32, 18, 122, 1.51, 1.25, .21, .94, 4.1, .76, 1.29, 630},
248 {3, 12.88, 2.99, 2.4, 20, 104, 1.3, 1.22, .24, .83, 5.4, .74, 1.42, 530},
249 {3, 12.81, 2.31, 2.4, 24, 98, 1.15, 1.09, .27, .83, 5.7, .66, 1.36, 560},
250 {3, 12.7, 3.55, 2.36, 21.5, 106, 1.7, 1.2, .17, .84, 5, .78, 1.29, 600},
251 {3, 12.51, 1.24, 2.25, 17.5, 85, 2, .58, .6, 1.25, 5.45, .75, 1.51, 650},
252 {3, 12.6, 2.46, 2.2, 18.5, 94, 1.62, .66, .63, .94, 7.1, .73, 1.58, 695},
253 {3, 12.25, 4.72, 2.54, 21, 89, 1.38, .47, .53, .8, 3.85, .75, 1.27, 720},
254 {3, 12.53, 5.51, 2.64, 25, 96, 1.79, .6, .63, 1.1, 5, .82, 1.69, 515},
255 {3, 13.49, 3.59, 2.19, 19.5, 88, 1.62, .48, .58, .88, 5.7, .81, 1.82, 580},
256 {3, 12.84, 2.96, 2.61, 24, 101, 2.32, .6, .53, .81, 4.92, .89, 2.15, 590},
257 {3, 12.93, 2.81, 2.7, 21, 96, 1.54, .5, .53, .75, 4.6, .77, 2.31, 600},
258 {3, 13.36, 2.56, 2.35, 20, 89, 1.4, .5, .37, .64, 5.6, .7, 2.47, 780},
259 {3, 13.52, 3.17, 2.72, 23.5, 97, 1.55, .52, .5, .55, 4.35, .89, 2.06, 520},
260 {3, 13.62, 4.95, 2.35, 20, 92, 2, .8, .47, 1.02, 4.4, .91, 2.05, 550},
261 {3, 12.25, 3.88, 2.2, 18.5, 112, 1.38, .78, .29, 1.14, 8.21, .65, 2, 855},
262 {3, 13.16, 3.57, 2.15, 21, 102, 1.5, .55, .43, 1.3, 4, .6, 1.68, 830},
263 {3, 13.88, 5.04, 2.23, 20, 80, .98, .34, .4, .68, 4.9, .58, 1.33, 415},
264 {3, 12.87, 4.61, 2.48, 21.5, 86, 1.7, .65, .47, .86, 7.65, .54, 1.86, 625},
265 {3, 13.32, 3.24, 2.38, 21.5, 92, 1.93, .76, .45, 1.25, 8.42, .55, 1.62, 650},
266 {3, 13.08, 3.9, 2.36, 21.5, 113, 1.41, 1.39, .34, 1.14, 9.40, .57, 1.33, 550},
267 {3, 13.5, 3.12, 2.62, 24, 123, 1.4, 1.57, .22, 1.25, 8.60, .59, 1.3, 500},
268 {3, 12.79, 2.67, 2.48, 22, 112, 1.48, 1.36, .24, 1.26, 10.8, .48, 1.47, 480},
269 {3, 13.11, 1.9, 2.75, 25.5, 116, 2.2, 1.28, .26, 1.56, 7.1, .61, 1.33, 425},
270 {3, 13.23, 3.3, 2.28, 18.5, 98, 1.8, .83, .61, 1.87, 10.52, .56, 1.51, 675},
271 {3, 12.58, 1.29, 2.1, 20, 103, 1.48, .58, .53, 1.4, 7.6, .58, 1.55, 640},
272 {3, 13.17, 5.19, 2.32, 22, 93, 1.74, .63, .61, 1.55, 7.9, .6, 1.48, 725},
273 {3, 13.84, 4.12, 2.38, 19.5, 89, 1.8, .83, .48, 1.56, 9.01, .57, 1.64, 480},
274 {3, 12.45, 3.03, 2.64, 27, 97, 1.9, .58, .63, 1.14, 7.5, .67, 1.73, 880},
275 {3, 14.34, 1.68, 2.7, 25, 98, 2.8, 1.31, .53, 2.7, 13, .57, 1.96, 660},
276 {3, 13.48, 1.67, 2.64, 22.5, 89, 2.6, 1.1, .52, 2.29, 11.75, .57, 1.78, 620},
277 {3, 12.36, 3.83, 2.38, 21, 88, 2.3, .92, .5, 1.04, 7.65, .56, 1.58, 520},
278 {3, 13.69, 3.26, 2.54, 20, 107, 1.83, .56, .5, .8, 5.88, .96, 1.82, 680},
279 {3, 12.85, 3.27, 2.58, 22, 106, 1.65, .6, .6, .96, 5.58, .87, 2.11, 570},
280 {3, 12.96, 3.45, 2.35, 18.5, 106, 1.39, .7, .4, .94, 5.28, .68, 1.75, 675},
281 {3, 13.78, 2.76, 2.3, 22, 90, 1.35, .68, .41, 1.03, 9.58, .7, 1.68, 615},
282 {3, 13.73, 4.36, 2.26, 22.5, 88, 1.28, .47, .52, 1.15, 6.62, .78, 1.75, 520},
283 {3, 13.45, 3.7, 2.6, 23, 111, 1.7, .92, .43, 1.46, 10.68, .85, 1.56, 695},
284 {3, 12.82, 3.37, 2.3, 19.5, 88, 1.48, .66, .4, .97, 10.26, .72, 1.75, 685},
285 {3, 13.58, 2.58, 2.69, 24.5, 105, 1.55, .84, .39, 1.54, 8.66, .74, 1.8, 750},
286 {3, 13.4, 4.6, 2.86, 25, 112, 1.98, .96, .27, 1.11, 8.5, .67, 1.92, 630},
287 {3, 12.2, 3.03, 2.32, 19, 96, 1.25, .49, .4, .73, 5.5, .66, 1.83, 510},
288 {3, 12.77, 2.39, 2.28, 19.5, 86, 1.39, .51, .48, .64, 9.899999, .57, 1.63, 470},
289 {3, 14.16, 2.51, 2.48, 20, 91, 1.68, .7, .44, 1.24, 9.7, .62, 1.71, 660},
290 {3, 13.71, 5.65, 2.45, 20.5, 95, 1.68, .61, .52, 1.06, 7.7, .64, 1.74, 740},
291 {3, 13.4, 3.91, 2.48, 23, 102, 1.8, .75, .43, 1.41, 7.3, .7, 1.56, 750},
292 {3, 13.27, 4.28, 2.26, 20, 120, 1.59, .69, .43, 1.35, 10.2, .59, 1.56, 835},
293 {3, 13.17, 2.59, 2.37, 20, 120, 1.65, .68, .53, 1.46, 9.3, .6, 1.62, 840},
294 {3, 14.13, 4.1, 2.74, 24.5, 96, 2.05, .76, .56, 1.35, 9.2, .61, 1.6, 560}
295 };
296 }